Machine Learning Engineer

CVS Health • New York, NY

1d • $86,520 - $173,040

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. About the Role At CVS Health, we’re reshaping the future of CRM Marketing through AI-driven optimization and decision-making to better serve millions of customers nationwide. We’re looking for a Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you’ll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases. Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you’ll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.

Requirements

• 3+ years of hands-on experience developing machine learning systems in production environment
• 3+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
• 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
• 2+ years of leading design and architecture of new and existing system experience
• Strong background in one or more of the following: reinforcement learning, causal inference, LLM, MCP
• Experience as a mentor or tech lead
• Ability to work and influence cross-functionally with strong communication skills

Nice To Haves

• Proficiency with full-stack framework (e.g, Node.js, React)
• Experience with real time scoring using tools like Spark, Kafka, Airflow
• Solid backend engineering skills in Python, including APIs and data modeling
• A/B testing and experimentation experience

Responsibilities

• Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including customer targeting, content recommendation, frequency optimization, propensity, uplift and LTV models etc.
• Implement CICD for ML including automated testing, model versioning, monitoring, and orchestration for models in production
• Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
• Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes
• Provide technical leadership on complex projects.
• Mentor other engineers and data scientists in best practices, code quality, and scalable architecture.
• Influence our ML and data roadmap.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
• For more information, visit https://jobs.cvshealth.com/us/en/benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level